Articles | Volume 19, issue 12
https://doi.org/10.5194/nhess-19-2795-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-2795-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2019
Research article |
| 11 Dec 2019
| 11 Dec 2019
Probabilistic modelling of the dependence between rainfed crops and drought hazard
Andreia F. S. Ribeiro
CORRESPONDING AUTHOR
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
Ana Russo
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
Célia M. Gouveia
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
Patrícia Páscoa
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
Carlos A. L. Pires
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
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Cited
17 citations as recorded by crossref.
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- Gaseous reactive nitrogen losses of agricultural systems in China influenced by crop trade W. Yue et al. 10.1088/1748-9326/ac9424
- Drought-related hot summers: A joint probability analysis in the Iberian Peninsula A. Ribeiro et al. 10.1016/j.wace.2020.100279
- Risk of crop failure due to compound dry and hot extremes estimated with nested copulas A. Ribeiro et al. 10.5194/bg-17-4815-2020
- Probability of maize yield failure increases with drought occurrence but partially depends on local conditions in China S. Liu et al. 10.1016/j.eja.2022.126552
- Modified Maximum Pseudo Likelihood Method of Copula Parameter Estimation for Skewed Hydrometeorological Data K. Joo et al. 10.3390/w12041182
- Risk of Crop Yield Reduction in China under 1.5 °C and 2 °C Global Warming from CMIP6 Models F. Wang et al. 10.3390/foods12020413
- Probabilistic modeling of crop-yield loss risk under drought: a spatial showcase for sub-Saharan Africa B. Kamali et al. 10.1088/1748-9326/ac4ec1
- Increase in compound dry-warm and wet-warm events under global warming in CMIP6 models Y. Meng et al. 10.1016/j.gloplacha.2022.103773
- Probabilistic climate risk assessment in rainfed wheat yield: Copula approach using water requirement satisfaction index M. Khaledi-Alamdari et al. 10.1016/j.agwat.2023.108542
- Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia K. Xiang et al. 10.1016/j.agwat.2023.108359
- Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe V. Potopová et al. 10.1016/j.agwat.2020.106168
- Rankings of extreme and widespread dry and wet events in the Iberian Peninsula between 1901 and 2016 M. Liberato et al. 10.5194/esd-12-197-2021
- Copula-Based Multivariate Frequency Analysis of the 2012–2018 Drought in Northeast Brazil J. Pontes Filho et al. 10.3390/w12030834
- Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. 10.1029/2022JD038025
- Interaction Effects of Dust and Water Deficit Stresses on Growth and Physiology of Persian Oak (Quercus BrantiiLindl.) L. Yaghmaei et al. 10.1080/10549811.2020.1845742
- Understanding the role of catchment and climate characteristics in the propagation of meteorological to hydrological drought H. Meresa et al. 10.1016/j.jhydrol.2022.128967
16 citations as recorded by crossref.
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- Gaseous reactive nitrogen losses of agricultural systems in China influenced by crop trade W. Yue et al. 10.1088/1748-9326/ac9424
- Drought-related hot summers: A joint probability analysis in the Iberian Peninsula A. Ribeiro et al. 10.1016/j.wace.2020.100279
- Risk of crop failure due to compound dry and hot extremes estimated with nested copulas A. Ribeiro et al. 10.5194/bg-17-4815-2020
- Probability of maize yield failure increases with drought occurrence but partially depends on local conditions in China S. Liu et al. 10.1016/j.eja.2022.126552
- Modified Maximum Pseudo Likelihood Method of Copula Parameter Estimation for Skewed Hydrometeorological Data K. Joo et al. 10.3390/w12041182
- Risk of Crop Yield Reduction in China under 1.5 °C and 2 °C Global Warming from CMIP6 Models F. Wang et al. 10.3390/foods12020413
- Probabilistic modeling of crop-yield loss risk under drought: a spatial showcase for sub-Saharan Africa B. Kamali et al. 10.1088/1748-9326/ac4ec1
- Increase in compound dry-warm and wet-warm events under global warming in CMIP6 models Y. Meng et al. 10.1016/j.gloplacha.2022.103773
- Probabilistic climate risk assessment in rainfed wheat yield: Copula approach using water requirement satisfaction index M. Khaledi-Alamdari et al. 10.1016/j.agwat.2023.108542
- Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia K. Xiang et al. 10.1016/j.agwat.2023.108359
- Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe V. Potopová et al. 10.1016/j.agwat.2020.106168
- Rankings of extreme and widespread dry and wet events in the Iberian Peninsula between 1901 and 2016 M. Liberato et al. 10.5194/esd-12-197-2021
- Copula-Based Multivariate Frequency Analysis of the 2012–2018 Drought in Northeast Brazil J. Pontes Filho et al. 10.3390/w12030834
- Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. 10.1029/2022JD038025
- Interaction Effects of Dust and Water Deficit Stresses on Growth and Physiology of Persian Oak (Quercus BrantiiLindl.) L. Yaghmaei et al. 10.1080/10549811.2020.1845742
Latest update: 24 Apr 2024
Short summary
This work investigates the dependence between drought hazard and yield anomalies of rainfed cropping systems in the Iberian Peninsula using the copula theory. The applied methodology allows us to estimate the likelihood of wheat and barley loss under drought conditions, and a dependence among extreme values is suggested. From the decision-making point of view this study aims to contribute to the mitigation of drought-related crop failure.
This work investigates the dependence between drought hazard and yield anomalies of rainfed...
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